Model Discrimination for Nonlinear Regression Models e-bog
2190,77 DKK
(inkl. moms 2738,46 DKK)
Borowiak (math, U. of Akron) discusses model discrimination based upon incorrect selection probability, presents diagnostic statistics and formal hypothesis test procedures to assess a model's fit and stability, explains the use of computer computations such as the jackknife and bootstrap, and demonstrates model discrimination techniques through examples taken from real experimental settings. O...
E-bog
2190,77 DKK
Forlag
CRC Press
Udgivet
25 november 2020
Længde
200 sider
Genrer
Probability and statistics
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9781000104127
Borowiak (math, U. of Akron) discusses model discrimination based upon incorrect selection probability, presents diagnostic statistics and formal hypothesis test procedures to assess a model's fit and stability, explains the use of computer computations such as the jackknife and bootstrap, and demonstrates model discrimination techniques through examples taken from real experimental settings. Offering practical guidance that experimenters and students can apply to their own research problems, this definitive reference text is essential reading for statisticians, mathematicians, data analysts, forecasters, applied engineers and advanced undergraduate and graduate students in the above disciplines.